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Senior AI Architect – Enterprise
Hewlett Packard Enterprise. Lead end-to-end architecture design for sovereign AI deployments .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading architecture design for sovereign AI deployments, focusing on scalable and secure AI/ML reference architectures, governance frameworks, and risk management. Proficient in collaborating with cross-functional teams to ensure compliance with sovereignty mandates and enterprise risk frameworks.
Highest-signal resume keywords
Kubernetes DeploymentLinux ExperienceAnsible AutomationNVIDIA AI Enterprise ToolsSovereign Cloud Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Architecture DesignModel Lifecycle ManagementData Pipeline DevelopmentGovernance Framework ImplementationRisk ManagementTechnical DocumentationHPC Architecture FamiliarityREST API IntegrationSecurity-by-DesignRisk-by-Design
Soft Skills
MentoringCommunicationCollaborationProblem-SolvingLeadership
Tools & Technologies
Rancher RKE2Red Hat OpenShiftCNCF KubernetesSLURMSlinkySUNKBCMDCGM
Industry Keywords
Sovereign AIDigital SovereigntyEU AI ActGDPRHIPAAFedRAMPCJISMLOpsCompliance-led AI DeploymentsProfessional Services
Tech Stack
Tools & technologiesAnsibleCloudKubernetesLinuxOpenShift
About the role
Key responsibilities & impact- Lead end-to-end architecture design for sovereign AI deployments
- Develop scalable, secure, and robust AI/ML reference architectures covering model lifecycle management, data pipelines, inference infrastructure, and governance frameworks
- Evaluate and select technologies, cloud/on-premises infrastructure, and tooling aligned with sovereign and risk-management constraints
- Provide architectural oversight across implementation teams
- Identify, assess, and manage risks across the AI solution lifecycle
- Develop and implement governance frameworks embedding responsible AI, auditability, and continuous risk monitoring
- Partner with security, compliance, and legal teams on sovereignty mandates and enterprise risk frameworks
- Embed security-by-design and risk-by-design in architecture, deployment, and operations
- Create architectural documentation, diagrams, and governance frameworks for AI model development, deployment, and monitoring
- Drive encryption, access control, auditing, and safe model operation across AI components
- Partner with engineering, security, compliance, and product teams
- Lead technical reviews and resolve architectural and integration issues
- Advise C-suite, technical leaders, and regulatory stakeholders on sovereign AI strategy
- Facilitate design workshops, discovery sessions, and technical deep-dives
- Translate customer requirements into actionable architectures and solution roadmaps
- Communicate architectural decisions to executives, delivery teams, security, product engineers, and customers
- Track developments in sovereign AI, regulation, digital sovereignty, and AI risk management
- Contribute to whitepapers, presentations, and technical guidance
- Mentor, coach, and develop solution and enterprise architects
- Travel regularly as a US teleworker
Requirements
What you’ll need- Strong demonstrated background deploying and configuring enterprise Kubernetes, including Rancher RKE2, Red Hat OpenShift, and CNCF Kubernetes
- 5+ years hands-on Linux experience
- Familiarity with SLURM on Kubernetes frameworks, including Slinky and SUNK
- Strong demonstrated background working with Ansible automation frameworks
- Familiarity with REST APIs for product integrations
- Familiarity with HPC architectures, network topologies, and high-performance storage platforms
- Knowledge of NVIDIA AI Enterprise tools, specifically BCM and DCGM, for deployment and management
- Regular travel required
- Preferred: Experience with Sovereign Cloud, MLOps, or compliance-led AI deployments
- Preferred: Familiarity with EU AI Act, GDPR, HIPAA, FedRAMP, CJIS, or related frameworks
- Preferred: Background in professional services, consulting, or large-scale transformation programs
- Preferred: Previous experience building a new sales motion or launching a net-new offering
Benefits
Comp & perks- Comprehensive benefits supporting physical, financial, and emotional wellbeing
- Personal and professional development programs
- Flexible work arrangements to manage work and personal needs
- Inclusive workplace culture
- Reasonable accommodation during the application or interview process for disabilities
- Employee benefits offered in the US